Antonio Morales-Esteban
Orcid: 0000-0002-3358-3690
According to our database1,
Antonio Morales-Esteban
authored at least 20 papers
between 2010 and 2024.
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Bibliography
2024
Comput. Geosci., January, 2024
2021
Mahalanobis clustering for the determination of incidence-magnitude seismic parameters for the Iberian Peninsula and the Republic of Croatia.
Comput. Geosci., 2021
Proceedings of the 14th International Conference on Computational Intelligence in Security for Information Systems and 12th International Conference on European Transnational Educational (CISIS 2021 and ICEUTE 2021), 2021
2020
Proceedings of the 11th International Conference on EUropean Transnational Educational, 2020
2019
Big data and natural disasters: New approaches for spatial and temporal massive data analysis.
Comput. Geosci., 2019
2018
Data Field-Based K-Means Clustering for Spatio-Temporal Seismicity Analysis and Hazard Assessment.
Remote. Sens., 2018
Earthquake prediction in California using regression algorithms and cloud-based big data infrastructure.
Comput. Geosci., 2018
Mapping of seismic parameters of the Iberian Peninsula by means of a geographic information system.
Central Eur. J. Oper. Res., 2018
2017
Medium-large earthquake magnitude prediction in Tokyo with artificial neural networks.
Neural Comput. Appl., 2017
Using principal component analysis to improve earthquake magnitude prediction in Japan.
Log. J. IGPL, 2017
Identifying P phase arrival of weak events: The Akaike Information Criterion picking application based on the Empirical Mode Decomposition.
Comput. Geosci., 2017
2016
A sensitivity study of seismicity indicators in supervised learning to improve earthquake prediction.
Knowl. Based Syst., 2016
2015
Comput. Geosci., 2015
A Novel Method for Seismogenic Zoning Based on Triclustering: Application to the Iberian Peninsula.
Entropy, 2015
Improving Earthquake Prediction with Principal Component Analysis: Application to Chile.
Proceedings of the Hybrid Artificial Intelligent Systems - 10th International Conference, 2015
2014
A fast partitioning algorithm using adaptive Mahalanobis clustering with application to seismic zoning.
Comput. Geosci., 2014
2013
Determining the best set of seismicity indicators to predict earthquakes. Two case studies: Chile and the Iberian Peninsula.
Knowl. Based Syst., 2013
2011
Proceedings of the Hybrid Artificial Intelligent Systems - 6th International Conference, 2011
2010